Triple

T1423570
Position Surface form Disambiguated ID Type / Status
Subject Grand Bazaar E30279 entity
Predicate hasFeature P182 FINISHED
Object inns (hans)
Inns (hans) are traditional Ottoman-era lodging and trading complexes that provided accommodation, storage, and commercial space for merchants within marketplaces like the Grand Bazaar.
E163140 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: inns (hans) | Statement: [Grand Bazaar, hasFeature, inns (hans)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: inns (hans)
Context triple: [Grand Bazaar, hasFeature, inns (hans)]
  • A. HAN
    HAN is the standard abbreviation used for the Hanshin Tigers, a professional baseball team in Japan's Nippon Professional Baseball league.
  • B. Nilsen
    Nilsen is a surname, primarily of Scandinavian origin, that serves as a variant spelling of Nelson.
  • C. Indre
    Indre is a river in central France that flows through the regions of Berry and Touraine before joining the Loire.
  • D. Helleren
    Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
  • E. Hans
    Hans is a masculine given name of Germanic origin commonly used in Germanic and Scandinavian countries.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: inns (hans)
Triple: [Grand Bazaar, hasFeature, inns (hans)]
Generated description
Inns (hans) are traditional Ottoman-era lodging and trading complexes that provided accommodation, storage, and commercial space for merchants within marketplaces like the Grand Bazaar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: inns (hans)
Target entity description: Inns (hans) are traditional Ottoman-era lodging and trading complexes that provided accommodation, storage, and commercial space for merchants within marketplaces like the Grand Bazaar.
  • A. HAN
    HAN is the standard abbreviation used for the Hanshin Tigers, a professional baseball team in Japan's Nippon Professional Baseball league.
  • B. Nilsen
    Nilsen is a surname, primarily of Scandinavian origin, that serves as a variant spelling of Nelson.
  • C. Indre
    Indre is a river in central France that flows through the regions of Berry and Touraine before joining the Loire.
  • D. Helleren
    Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
  • E. Hans
    Hans is a masculine given name of Germanic origin commonly used in Germanic and Scandinavian countries.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a498fb823c8190a67ce4c4837e641a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c4ba798881909c2259987248b030 completed March 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0161e23c819099a1c72627f13dd0 completed March 8, 2026, 4:56 a.m.
NEDg Description generation batch_69ad01c53e808190824b9702c309f0a2 completed March 8, 2026, 4:57 a.m.
NED2 Entity disambiguation (via description) batch_69ad0241546881908f1044616255f146 completed March 8, 2026, 4:59 a.m.
Created at: March 1, 2026, 8 p.m.